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https://pydata.org/code-of-conduct/¶
NumFOCUS¶
- US-based charity in support of open-source scientific computing
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- https://numfocus.org
PyData¶
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- https://london.pydata.org/
- Propose a Talk: https://london.pydata.org/submit-a-talk/
We're back!¶
- 2 years older, a little rustier but as keen as ever
- Thanks for MAN AHL for continuing to fund this
- Thank you all for coming along, and the speakers we have this evening
Upcoming Conferences¶
🇦🇪 Oct 10-13 2022 = PyCon MEA (Dubai, UAE)¶
🇬🇭 Oct 13-15 2022 = PyCon Ghana 2022¶
🇿🇦 Oct 13-14 2022 = PyCon ZA 2022 (Durban, South Africa)¶
🇯🇵 Oct 14-16 2022 = PyCon JP 2022 (Tokyo, Japan)¶
🇩🇪 Oct 25th 2022 = enterPy 2022 (Online)¶
🇺🇸 Nov 09-11 2022 = PyData NYC 2022 (USA)¶
🌎🌍🌏 Dec 01-03 2022 = PyData Global 2022 (The Internet) 🌎🌍🌏¶
🇩🇪 Dec 2nd 2022 = PyData Eindhoven 2022 (Germany)¶
🇮🇱 Dec 13th 2022 = PyData Tel Aviv 2022 (Israel)¶
Upcoming Local Meetups & Events¶
🥷 Thu 6th October = London Python Dojo (@ldnpydojo)¶
🐍 Tue 11th October = PyData Bristol (@pydatabristol)¶
🐍 Tue 11th October = PyData DC (online)¶
🎸 Thu 13th October = London Django Meetup (@djangolondon)¶
🐍 Fri 14th October = PyMC Office Hours (online)¶
🐍 Sat 22nd October = PyData Osaka (online)¶
🐍 Tue 1st November = ⭐ PyData London (68th Meetup) ⭐¶
POTM (Page Of The Month)¶
#1 The Python Events Calendar¶
POTM (Page Of The Month)¶
#2 PyCon Events Calendar¶
POTM (Page Of The Month)¶
#3 Python Deadlin.es¶
The Entropy of Alice in Wonderland — Pete Bleackley¶
This talk will demonstrate the information theory based keyword extraction algorithm proposed by Montemurro and Zanette by using it to analyse the text of "Alice's Adventures in Wonderland".
Sharing Python Code as No Code Solutions — Paolo Tamagnini¶
Python devs and data scientists are used to producing libraries to share internally with their organisation or externally to the Python open-source community. Those libraries are hardly adopted however by analysts and engineers who are not versed in Python. This talk will show how any Python library can be packaged and shared to no-code users of KNIME Analytics Platform, a free and open source desktop tool! KNIME users can then drag and drop the library functions via colourful blocks, called nodes, and build data pipelines, called workflows, without any coding knowledge. A simple use case on computing geographical distances will be used to show how this is possible!